Improvement of newborn screening using a fuzzy inference system
作者：
Highlights：
• Newborn screening plans are a routine for newborn care.
• We present a fuzzy inference system to support newborn screening.
• It screens for 46 inborn errors of metabolism and takes as input up to 42 analytes.
• It has been tested with two different types of samples from three distinct sources.
• High accuracy on diagnosis is obtained in 98.7% less time than laboratory personnel.
摘要
•Newborn screening plans are a routine for newborn care.•We present a fuzzy inference system to support newborn screening.•It screens for 46 inborn errors of metabolism and takes as input up to 42 analytes.•It has been tested with two different types of samples from three distinct sources.•High accuracy on diagnosis is obtained in 98.7% less time than laboratory personnel.
论文关键词：Decision support system,Fuzzy inference system,Inborn error of metabolism,Newborn screening
论文评审过程：Received 4 January 2016, Revised 10 February 2017, Accepted 11 February 2017, Available online 15 February 2017, Version of Record 23 February 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.022
